GRK 2193:  Adaption Intelligence of Factories in a Dynamic and Complex Environment

• Subject Area: Production Technology
• Term: since 2016
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 276879186

The high dynamics and intensity of environmental changes in factory systems require fast adaptionand reaction times. These are decisive competitive factors, but are difficult to master dueto the high complexity and interdisciplinary tasks of factory planning. The consistent digitalisationof factory systems and an interdisciplinary approach make it possible to further Increaseadap-tion intelligence. In particular, the highly topical tensions between human decisions andauton-omous systems is investigated in a strongly interdisciplinary cooperation of the disciplinescivil engineering, business administration, electrical engineering, computer science, logistics,me-chanical engineering and social sciences participating in the Research Training Group. Thefoundation for this are digital and virtual representations of factory models, which enable all participatingdisciplines to collaboratively experiment, develop and test solution variants with littleeffort as well as improve the permanent adaption responsiveness. In the first phase, in additionto the development of a common terminology and a common understanding across all departments,valuable preparatory work was carried out both In the development of common methodsfor adaptation planning and smart production control as well as in the development of digitaltwins, software tools, mathematical models and simulation models. The second funding phaseof the Research Training Group builds on these past activities and deals in depth with humancentered,model-based and data-driven methods. With the help of machine learning methodsand simulation models, new methods for factory planning and control are to be developed whichcan make a valuable contribution to increasing the adaption intelligence of factories. For therealization of innovative socio-technical systems, new forms of cooperation between planningparticipants in the sense of participative factory planning are to be developed in addition to humanand technological aspects, in order to also emphasize the organizational dimensions ofadaptation processes. The central vrarking hypothesis is that adaptation intelligence can onlybe realized through a task-oriented combination of human and algorithmic intelligence. For thispurpose, the Research Training Group is divided into the interaction topics "Virtualisation andDigital Twins", "Management of Adaption Processes" and "Smart Production Control". This divisioninto three parts, proven in the first phase, enables efficient and goal-oriented work on basicmethods, the design of changeable factory systems and the use of inherent flexibility potentialsin the field of tension between human decisions and autonomous systems.

• DFG Programme: Research Training Groups
• Applicant Institution: Technische Universität Dortmund
• Spokesperson: Professor Dr. Jakob Rehof
• Participating Researchers: Professor Dr.-Ing. Dirk Biermann; Professor Dr. Peter Buchholz; Professor Dr.-Ing. Mike Gralla; Professor Dr. Michael Henke; Professor Dr. Andreas Hoffjan; Professor Dr. Michael ten Hompel, until 3/2024; Professor Dr. Jürgen Howaldt; Professorin Dr.-Ing. Alice Kirchheim, since 4/2024; Professorin Dr.-Ing. Anne Meyer, from 10/2019 until 8/2023; Professor Dr.-Ing. Christian Rehtanz, since 10/2019; Professor Dr.-Ing. Jürgen Roßmann; Professorin Dr.-Ing. Petra Wiederkehr